Abstract
Instantaneous physiological signal rates related to cardiopulmonary activities are important indicators of human health assessment. Noncontact vital signals detection using microwave radar is preferable due to its zero disturbance to the subject. This paper presents a Wavelet Analysis (WA) based noncontact heartbeat and respiration signals detection algorithm using millimeter Frequency Modulated Continuous Wave (FMCW) radar. In WA, wavelet packet decomposition is applied to separate heartbeat and respiration signals from radar signal and continuous wavelet transform is used for time frequency analysis. Comparison experiments have been conducted with wearable devices on 10 subjects. Compared with the measurement result of the reference sensor, the average absolute error percentage is less than 2.0% and 3.5% for respiration and heart rate, respectively. In addition, the proposed method improves the accuracy of vital signals detection in comparison with Bandpass filter and Peak Detection (BPK).
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Liu, L., Xiao, W., Wu, J., Xiao, S. (2020). Wavelet Analysis Based Noncontact Vital Signal Measurements Using mm-Wave Radar. In: Yu, Z., Becker, C., Xing, G. (eds) Green, Pervasive, and Cloud Computing. GPC 2020. Lecture Notes in Computer Science(), vol 12398. Springer, Cham. https://doi.org/10.1007/978-3-030-64243-3_1
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DOI: https://doi.org/10.1007/978-3-030-64243-3_1
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